{"id":"W4283263374","doi":"10.1109/iciprob54042.2022.9798454","title":"ICIPRoB2022 Conference Program","year":2022,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Computer science; Multi-core processor; Benchmark (surveying); Compiler; MATLAB; Deep learning; Software; Embedded system; Computer architecture; Computer engineering; Artificial intelligence; Parallel computing; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001975224,0.00005479426,0.00005981666,0.00005899121,0.0002637724,0.00009725214,0.0008350792,0.000009173789,0.0002709854],"category_scores_gemma":[0.000006351052,0.00005339276,0.00002619174,0.0003444081,0.00001300933,0.0001063098,0.000730608,0.000107701,0.00001393949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002397356,"about_ca_system_score_gemma":0.00004971863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001200308,"about_ca_topic_score_gemma":5.101246e-7,"domain_scores_codex":[0.9992919,0.00006560483,0.00009900913,0.0002076355,0.0001922923,0.000143537],"domain_scores_gemma":[0.9995753,0.00001568499,0.00003600533,0.0003005177,0.0000370683,0.00003538055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002046493,0.0002221951,0.0001537698,0.000002964513,0.000006197622,0.00001045264,0.0004196787,0.01123375,0.00005695513,0.7442642,0.03041254,0.2132153],"study_design_scores_gemma":[0.00009008339,0.0002131927,0.00008323294,8.998233e-7,6.615583e-7,0.000018747,0.00002288561,0.874324,0.0004324086,0.007262212,0.1174237,0.0001280438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004458569,0.00001819136,0.9362283,0.0009297951,0.0001093465,0.0001597262,3.864444e-7,0.002158012,0.05995044],"genre_scores_gemma":[0.487492,0.000002145629,0.5090483,0.0005657743,0.000008335045,0.0001468113,0.000002356671,0.00000315914,0.002731163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8630902,"threshold_uncertainty_score":0.29671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771588981898522,"score_gpt":0.2820258780544587,"score_spread":0.2543099882354735,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}